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… and delay drawing the plot.
…tionality (except for the main mining function).
…le to run to conclusion with possibly correct results.
Began a more OOP approach to patterns to better streamline their usage.
…s and unimodalities.
…n there are too many values in a column. Added caching and runtime improvements.
…3 seconds to run (compared to previous over 30).
…ausing exceptions).
… Still need to fix size and clipping issues.
…erent and legible when using them in pd-explain.
… improved performance.
… so HDS only bin numeric columns and use all columns from categorical columns, added None patterns to visualizations.
…mputation that could cause crashes in cases where multi-index series existed.
…series due to matplotlib not expecting tuple input.
…r pd-explain to add LLM reasoning to them.
…ibution, instead of displaying raw data.
Fixed mean values line in trend patterns being too opaque.
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Added an implementation of MetaInsight explainer, based on the framework described in the paper "Metainsight: Automatic discovery of structured knowledge for exploratory data analysis" by Ma et. al.
The explainer automatically finds the most interesting patterns in the data, given a list of columns to filter by, group by, and aggregation functions.